Powered by Engineering Brain, Japan | PKVとは | PKV Methodology | KnowledgeRank v6.0.0: レビューでポイントが貯まり、自著論文をランキングに表示できます

アクセスランキング(PKV)

Currently viewing Information Science Field Ranking

順位 タイトル
著者 雑誌 巻 号 ページ 年 PKVアクセス数
22501 Social tie-driven content priority scheme for D2D communications
Zufan Zhang, Lisha Wang Information Sciences 480 None 160–173 2019 1.0
平均評価: / 5 ( 件のレビュー)
22502 Cosine-transform-based chaotic system for image encryption
Zhongyun Hua, Yicong Zhou, Hejiao Huang Information Sciences 480 None 403–419 2019 1.0
平均評価: / 5 ( 件のレビュー)
22503 Deep Reservoir Neural Networks for Trees
Claudio Gallicchio, Alessio Micheli Information Sciences 480 None 174–193 2019 1.0
平均評価: / 5 ( 件のレビュー)
22504 Action recognition for depth video using multi-view dynamic images
Yang Xiao, Jun Chen, Yancheng Wang, Zhiguo Cao, Joey Tianyi Zhou, Xiang Bai Information Sciences 480 None 287–304 2019 1.0
平均評価: / 5 ( 件のレビュー)
22505 Ensemble feature selection using election methods and ranker clustering
Peter Drotár, Matej Gazda, Liberios Vokorokos Information Sciences 480 None 365–380 2019 1.0
平均評価: / 5 ( 件のレビュー)
22506 Corrigendum to ‘How to adjust an ensemble size in stream data mining?’ Information Sciences, vol. 381 (2017), pp. 46-54
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda Information Sciences 477 None 545–None 2019 1.0
平均評価: / 5 ( 件のレビュー)
22507 Erratum to “Bipolar fuzzy graphs” [Information Sciences 181 (2011) 5548-5564]
Ganesh Ghorai Information Sciences 477 None 546–548 2019 1.0
平均評価: / 5 ( 件のレビュー)
22508 Covering rough set structures for a locally finite covering approximation space
Sang-Eon Han Information Sciences 480 None 420–437 2019 1.0
平均評価: / 5 ( 件のレビュー)
22509 Coupling privileged kernel method for multi-view learning
Jingjing Tang, Yingjie Tian, Dalian Liu, Gang Kou Information Sciences 481 None 110–127 2019 1.0
平均評価: / 5 ( 件のレビュー)
22510 Learning distance to subspace for the nearest subspace methods in high-dimensional data classification
Rui Zhu, Mingzhi Dong, Jing-Hao Xue Information Sciences 481 None 69–80 2019 1.0
平均評価: / 5 ( 件のレビュー)